AI Analysis
Final verdict: SUSPICIOUS
The package exhibits moderate risk due to network and obfuscation concerns, though it lacks clear indicators of malicious intent such as shell execution or credential theft.
- network calls potentially for data exfiltration
- use of eval with user input
Per-check LLM notes
- Network: The package makes network calls which may be for legitimate purposes like fetching updates or configuration, but could also indicate data exfiltration.
- Shell: No shell execution patterns were detected, indicating low risk of direct system command execution.
- Obfuscation: Use of eval with user input can be indicative of obfuscation or code injection risks.
- Credentials: No suspicious patterns for credential harvesting were detected.
- Metadata: The package has some red flags, including an absent author name and a new maintainer with only one package, suggesting potential risk but not conclusive evidence of malice.
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
tf-8") req = urllib.request.Request(url, data=body, method=method.upper())/json") with urllib.request.urlopen(req, timeout=30) as resp: resul
Code Obfuscation
score 4.0
Found 2 obfuscation pattern(s)
ry: result = str(eval(self.expression)) self.display.SetValue(result)result = str(eval(self.expression)) self.display.SetValue
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with FlashGui
Create a user-friendly calorie tracker application using the FlashGui Python package. This application should allow users to input their daily food intake and track their total caloric consumption throughout the day. Here’s a detailed plan on how to develop this mini-app: 1. **Application Overview**: The app will have a clean interface where users can add different food items along with their respective calorie counts. It should also display the total calories consumed up to that point. 2. **Features**: - Add Food Item: Users should be able to enter the name of the food item and its calorie count. The app should validate the input to ensure it's a positive number. - Remove Food Item: Provide a feature to remove any previously added food item. - Total Calories Display: Show the cumulative total of all entered calories in real-time. - Save/Load Data: Implement functionality to save the current day's data to a file and load it back when the app starts again. - Proportional Layout System: Use FlashGui's proportional layout system to ensure the UI looks good on different screen sizes. 3. **Implementation Steps**: - Step 1: Set up the basic structure of the FlashGui application, including initializing the main window and setting up the proportional layout. - Step 2: Create input fields for the food name and calorie count. Link these inputs to a function that updates the total calories. - Step 3: Implement buttons for adding new entries and removing existing ones, ensuring they interact correctly with the displayed total. - Step 4: Develop the save/load functionality using simple file operations to persist the data. - Step 5: Test the application thoroughly to ensure all features work as expected and handle edge cases gracefully. By following these steps, you'll create a useful tool that leverages FlashGui's simplicity and ease of use to provide a valuable service to health-conscious individuals.